As large-scale databases become commonplace, there has been signi cant interest in mining them for commercial purposes. One of the basic tasks that underlies many of these mining ...
With increasing chip densities, future microprocessor designs have the opportunity to integrate many of the traditional systemlevel modules onto the same chip as the processor. So...
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
This work considers the use of a n S M T (simultaneous multithreading) processor in lieu of the conventional processor(s) in a router and evaluates quantitatively the potential ga...
Dynamic Optimization is an umbrella term that refers to any optimization of software that is performed after the initial compile time. It is a complementary optimization opportuni...